[ERROR] [1548154452.152836138]: Could not convert depth image to laserscan: Depth image has unsupported encoding: rgb8

[christenbc]

The camera is an Intel Sense.
Is there any solution to this issue?

[BQuin]

I have a similar issue with an intel sense camera, but with mono16 encoding. Were you able to fix it? Thank you

[ahmedkobtan]

Same issue here

[zouyonghao]

same here with

Could not convert depth image to laserscan: Depth image has unsupported encoding: mono16

[LuigiCerone]

Any update on this?

[clalancette]

As it stands, depthimage_to_laserscan only supports image encodings of TYPE_16UC1 and TYPE_32FC1 (see

depthimage_to_laserscan/src/DepthImageToLaserScan.cpp

Line 129 in 547cead

if (depth_msg->encoding == sensor_msgs::image_encodings::TYPE_16UC1)

). All other encodings throw that exception. To fix this issue, you'll have to open a pull request that adds support for converting from another encoding.

[Pomu0708]

you should convert the type of the image

def callback(self,data):
    try:
        cv_image = self.bridge.imgmsg_to_cv2(data, "bgr8")
    except CvBridgeError as e:
        print(e)
    
    img = cv2.cvtColor(cv_image,cv2.COLOR_BGR2GRAY)
    img2 = np.array(img, dtype=np.float32) 
    cv2.waitKey(1)

    try:
        self.image_pub.publish(self.bridge.cv2_to_imgmsg(img2, "32FC1"))
    except CvBridgeError as e:
        print(e)

[han88]

Hi same problem..where do I have to place that code snippet?